Dirk Thierens - RankMe

119 papers A 36B 4C 2Journal 26Unranked 44

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Conditional Direct Empirical Linkage Discovery for Solving Multi-Structured Problems. FOGA Michal Witold Przewozniczek, Peter A. N. Bosman, Anton Bouter, Arthur Guijt, Marcin M. Komarnicki, Dirk Thierens
2025	J	`jnl`	Generating the ground truth: Synthetic data for soft label and label noise research. Int. J. Data Sci. Anal. Sjoerd de Vries, Dirk Thierens
2025	J	`jnl`	Learning with confidence: training better classifiers from soft labels. Mach. Learn. Sjoerd de Vries, Dirk Thierens
2025	—	`conf`	Model-Based Evolutionary Algorithms. GECCO Companion Dirk Thierens, Peter A. N. Bosman
2025	J	`jnl`	Sharing Knowledge without Sharing Data: Stitches can improve ensembles of disjointly trained models. CoRR Arthur Guijt, Dirk Thierens, Ellen M. Kerkhof, Jan Wiersma, Tanja Alderliesten, Peter A. N. Bosman
2025	—	`conf`	The Pitfalls and Potentials of Adding Gene-invariance to Optimal Mixing. GECCO Companion Anton Bouter, Dirk Thierens, Peter A. N. Bosman
2025	J	`jnl`	The Pitfalls and Potentials of Adding Gene-invariance to Optimal Mixing. CoRR Anton Bouter, Dirk Thierens, Peter A. N. Bosman
2024	—	`conf`	Exploring the Search Space of Neural Network Combinations obtained with Efficient Model Stitching. GECCO Companion Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2024	J	`jnl`	Learning with Confidence: Training Better Classifiers from Soft Labels. CoRR Sjoerd de Vries, Dirk Thierens
2024	—	`conf`	Model-Based Evolutionary Algorithms. GECCO Companion Dirk Thierens, Peter A. N. Bosman
2024	J	`jnl`	Parameterless Gene-Pool Optimal Mixing Evolutionary Algorithms. Evol. Comput. Arkadiy Dushatskiy, Marco Virgolin, Anton Bouter, Dirk Thierens, Peter A. N. Bosman
2024	J	`jnl`	Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them. CoRR Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2023	J	`jnl`	Generating the Ground Truth: Synthetic Data for Label Noise Research. CoRR Sjoerd de Vries, Dirk Thierens
2023	—	`conf`	Model-Based Evolutionary Algorithms. GECCO Companion Dirk Thierens, Peter A. N. Bosman
2023	A	`conf`	The Impact of Asynchrony on Parallel Model-Based EAs. GECCO Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2023	J	`jnl`	The Impact of Asynchrony on Parallel Model-Based EAs. CoRR Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2022	J	`jnl`	A semi-supervised decision support system to facilitate antibiotic stewardship for urinary tract infections. Comput. Biol. Medicine Sjoerd de Vries, Thijs ten Doesschate, Joan E. E. Totté, Judith W. Heutz, Yvette G. T. Loeffen, Jan Jelrik Oosterheert, Dirk Thierens, Edwin Boel
2022	—	`conf`	Model-based evolutionary algorithms: GECCO 2022 tutorial. GECCO Companion Dirk Thierens, Peter A. N. Bosman
2022	J	`jnl`	Solving Multi-Structured Problems by Introducing Linkage Kernels into GOMEA. CoRR Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2022	A	`conf`	Solving multi-structured problems by introducing linkage kernels into GOMEA. GECCO Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2021	—	`conf`	A benchmark generator of tree decomposition Mk landscapes. GECCO Companion Dirk Thierens, Tobias van Driessel
2021	J	`jnl`	A reliable ensemble based approach to semi-supervised learning. Knowl. Based Syst. Sjoerd de Vries, Dirk Thierens
2021	—	`conf`	Benchmark generator for TD Mk landscapes. GECCO Companion Tobias van Driessel, Dirk Thierens
2021	—	`conf`	Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms. GECCO Companion Michal Witold Przewozniczek, Marcin M. Komarnicki, Peter A. N. Bosman, Dirk Thierens, Bartosz Frej, Ngoc Hoang Luong
2021	—	`conf`	Model-based evolutionary algorithms. GECCO Companion Dirk Thierens, Peter A. N. Bosman
2021	—	`conf`	Optimization of multi-objective mixed-integer problems with a model-based evolutionary algorithm in a black-box setting. GECCO Companion Krzysztof L. Sadowski, Dirk Thierens, Peter A. N. Bosman
2021	J	`jnl`	Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms. CoRR Arkadiy Dushatskiy, Marco Virgolin, Anton Bouter, Dirk Thierens, Peter A. N. Bosman
2021	—	`ch.`	Two-Phase Real-Valued Multimodal Optimization with the Hill-Valley Evolutionary Algorithm. Metaheuristics for Finding Multiple Solutions Stefanus C. Maree, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2020	—	`conf`	Model-based evolutionary algorithms: GECCO 2020 tutorial. GECCO Companion Dirk Thierens, Peter A. N. Bosman
2019	A	`conf`	Investigation of the traveling thief problem. GECCO Rogier Hans Wuijts, Dirk Thierens
2019	—	`conf`	Model-based evolutionary algorithms. GECCO (Companion) Dirk Thierens, Peter A. N. Bosman
2018	J	`jnl`	Benchmarking the Hill-Valley Evolutionary Algorithm for the GECCO 2018 Competition on Niching Methods Multimodal Optimization. CoRR S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman
2018	J	`jnl`	GAMBIT: A Parameterless Model-Based Evolutionary Algorithm for Mixed-Integer Problems. Evol. Comput. Krzysztof L. Sadowski, Dirk Thierens, Peter A. N. Bosman
2018	—	`conf`	Heuristics in Permutation GOMEA for Solving the Permutation Flowshop Scheduling Problem. PPSN (1) G. H. Aalvanger, Ngoc Hoang Luong, Peter A. N. Bosman, Dirk Thierens
2018	A	`conf`	Learning bayesian network structures with GOMEA. GECCO Kalia Orphanou, Dirk Thierens, Peter A. N. Bosman
2018	—	`conf`	Model-based evolutionary algorithms: GECCO 2018 tutorial. GECCO (Companion) Dirk Thierens, Peter A. N. Bosman
2018	J	`jnl`	Real-Valued Evolutionary Multi-Modal Optimization driven by Hill-Valley Clustering. CoRR S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman
2018	A	`conf`	Real-valued evolutionary multi-modal optimization driven by hill-valley clustering. GECCO S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman
2017	A	`conf`	Exploring trade-offs between target coverage, healthy tissue sparing, and the placement of catheters in HDR brachytherapy for prostate cancer using a novel multi-objective model-based mixed-integer evolutionary algorithm. GECCO Krzysztof L. Sadowski, Marjolein C. van der Meer, Ngoc Hoang Luong, Tanja Alderliesten, Dirk Thierens, Rob van der Laarse, Yury Niatsetski, Arjan Bel, Peter A. N. Bosman
2017	—	`conf`	Model-based evolutionary algorithms: GECCO 2017 tutorial. GECCO (Companion) Dirk Thierens, Peter A. N. Bosman
2017	A	`conf`	Niching an estimation-of-distribution algorithm by hierarchical Gaussian mixture learning. GECCO S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman
2016	A	`conf`	Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms. GECCO Peter A. N. Bosman, Ngoc Hoang Luong, Dirk Thierens
2016	B	`conf`	Learning and exploiting mixed variable dependencies with a model-based EA. CEC Krzysztof L. Sadowski, Peter A. N. Bosman, Dirk Thierens
2016	—	`conf`	Model-Based Evolutionary Algorithms. GECCO (Companion) Dirk Thierens, Peter A. N. Bosman
2016	A	`conf`	The Multiple Insertion Pyramid: A Fast Parameter-Less Population Scheme. PPSN Willem den Besten, Dirk Thierens, Peter A. N. Bosman
2015	A	`conf`	A Clustering-Based Model-Building EA for Optimization Problems with Binary and Real-Valued Variables. GECCO Krzysztof L. Sadowski, Peter A. N. Bosman, Dirk Thierens
2015	—	`conf`	In Search of Optimal Linkage Trees. GECCO (Companion) Roy de Bokx, Dirk Thierens, Peter A. N. Bosman
2015	—	`conf`	Model-Based Evolutionary Algorithms. GECCO (Companion) Dirk Thierens, Peter A. N. Bosman
2014	A	`conf`	Combining Model-Based EAs for Mixed-Integer Problems. PPSN Krzysztof L. Sadowski, Dirk Thierens, Peter A. N. Bosman
2014	—	`conf`	Model-based evolutionary algorithms. GECCO (Companion) Dirk Thierens, Peter A. N. Bosman
2013	J	`jnl`	Benchmarking Parameter-Free AMaLGaM on Functions With and Without Noise. Evol. Comput. Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
2013	A	`conf`	Hierarchical problem solving with the linkage tree genetic algorithm. GECCO Dirk Thierens, Peter A. N. Bosman
2013	—	`conf`	Model-based evolutionary algorithms. GECCO (Companion) Dirk Thierens, Peter A. N. Bosman
2013	A	`conf`	More concise and robust linkage learning by filtering and combining linkage hierarchies. GECCO Peter A. N. Bosman, Dirk Thierens
2013	A	`conf`	On the usefulness of linkage processing for solving MAX-SAT. GECCO Krzysztof L. Sadowski, Peter A. N. Bosman, Dirk Thierens
2012	—	`conf`	Evolvability Analysis of the Linkage Tree Genetic Algorithm. PPSN (1) Dirk Thierens, Peter A. N. Bosman
2012	—	`conf`	Learning the Neighborhood with the Linkage Tree Genetic Algorithm. LION Dirk Thierens, Peter A. N. Bosman
2012	A	`conf`	Linkage neighbors, optimal mixing and forced improvements in genetic algorithms. GECCO Peter A. N. Bosman, Dirk Thierens
2012	—	`conf`	On Measures to Build Linkage Trees in LTGA. PPSN (1) Peter A. N. Bosman, Dirk Thierens
2012	A	`conf`	Predetermined versus learned linkage models. GECCO Dirk Thierens, Peter A. N. Bosman
2012	J	`jnl`	Stochastic Pareto local search: Pareto neighbourhood exploration and perturbation strategies. J. Heuristics Madalina M. Drugan, Dirk Thierens
2011	A	`conf`	Generalized adaptive pursuit algorithm for genetic pareto local search algorithms. GECCO Madalina M. Drugan, Dirk Thierens
2011	A	`conf`	Optimal mixing evolutionary algorithms. GECCO Dirk Thierens, Peter A. N. Bosman
2011	A	`conf`	Pairwise and problem-specific distance metrics in the linkage tree genetic algorithm. GECCO Martin Pelikan, Mark Hauschild, Dirk Thierens
2011	—	`conf`	The roles of local search, model building and optimal mixing in evolutionary algorithms from a bbo perspective. GECCO (Companion) Peter A. N. Bosman, Dirk Thierens
2010	J	`jnl`	Geometrical Recombination Operators for Real-Coded Evolutionary MCMCs. Evol. Comput. Madalina M. Drugan, Dirk Thierens
2010	—	`conf`	Linkage tree genetic algorithm: first results. GECCO (Companion) Dirk Thierens
2010	—	`conf`	Path-Guided Mutation for Stochastic Pareto Local Search Algorithms. PPSN (1) Madalina M. Drugan, Dirk Thierens
2010	J	`jnl`	Recombination operators and selection strategies for evolutionary Markov Chain Monte Carlo algorithms. Evol. Intell. Madalina M. Drugan, Dirk Thierens
2010	—	`conf`	The Linkage Tree Genetic Algorithm. PPSN (1) Dirk Thierens
2009	—	`conf`	AMaLGaM IDEAs in noiseless black-box optimization benchmarking. GECCO (Companion) Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
2009	—	`conf`	AMaLGaM IDEAs in noisy black-box optimization benchmarking. GECCO (Companion) Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
2009	—	`conf`	Adaptive Operator Selection for Iterated Local Search. SLS Dirk Thierens
2009	—	`conf`	On benchmark properties for adaptive operator selection. GECCO (Companion) Dirk Thierens
2008	—	`conf`	A bivariate probabilistic model-building genetic algorithm for graph bipartitioning. GECCO (Companion) Dirk Thierens
2008	A	`conf`	Enhancing the Performance of Maximum-Likelihood Gaussian EDAs Using Anticipated Mean Shift. PPSN Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
2007	—	`ch.`	Adaptive Strategies for Operator Allocation. Parameter Setting in Evolutionary Algorithms Dirk Thierens
2007	A	`conf`	Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms. GECCO Peter A. N. Bosman, Dirk Thierens
2007	—	`ed.`	Genetic and Evolutionary Computation Conference, GECCO 2007, Proceedings, London, England, UK, July 7-11, 2007, Companion Material GECCO (Companion) Dirk Thierens
2006	A	`conf`	Exploration and Exploitation Bias of Crossover and Path Relinking for Permutation Problems. PPSN Dirk Thierens
2006	—	`ch.`	Multi-objective Optimization with the Naive 𝕄 ID 𝔼 A. Towards a New Evolutionary Computation Peter A. N. Bosman, Dirk Thierens
2006	—	`ch.`	Numerical Optimization with Real-Valued Estimation-of-Distribution Algorithms. Scalable Optimization via Probabilistic Modeling Peter A. N. Bosman, Dirk Thierens
2005	—	`conf`	A generator for hierarchical problems. GECCO Workshops Edwin D. de Jong, Richard A. Watson, Dirk Thierens
2005	—	`conf`	An Adaptive Pursuit Strategy for Allocating Operator Probabilities. BNAIC Dirk Thierens
2005	A	`conf`	An adaptive pursuit strategy for allocating operator probabilities. GECCO Dirk Thierens
2005	—	`conf`	On the Complexity of Hierarchical Problem Solving. BNAIC Edwin D. de Jong, Richard A. Watson, Dirk Thierens
2005	A	`conf`	On the complexity of hierarchical problem solving. GECCO Edwin D. de Jong, Richard A. Watson, Dirk Thierens
2005	B	`conf`	Recombinative EMCMC algorithms. Congress on Evolutionary Computation Madalina M. Drugan, Dirk Thierens
2005	C	`conf`	The Naive MIDEA: A Baseline Multi-objective EA. EMO Peter A. N. Bosman, Dirk Thierens
2004	—	`conf`	Exploiting Modularity, Hierarchy, and Repetition in Variable-Length Problems. GECCO (1) Edwin D. de Jong, Dirk Thierens
2004	—	`ed.`	Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part I GECCO (1) Kalyanmoy Deb, Riccardo Poli, Wolfgang Banzhaf, Hans-Georg Beyer, Edmund K. Burke, Paul J. Darwen, Dipankar Dasgupta, Dario Floreano, James A. Foster, Mark Harman, Owen Holland, Pier Luca Lanzi, Lee Spector, Andrea Tettamanzi, Dirk Thierens, Andrew M. Tyrrell
2004	—	`ed.`	Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part II GECCO (2) Kalyanmoy Deb, Riccardo Poli, Wolfgang Banzhaf, Hans-Georg Beyer, Edmund K. Burke, Paul J. Darwen, Dipankar Dasgupta, Dario Floreano, James A. Foster, Mark Harman, Owen Holland, Pier Luca Lanzi, Lee Spector, Andrea Tettamanzi, Dirk Thierens, Andrew M. Tyrrell
2004	A	`conf`	Hierarchical Genetic Algorithms. PPSN Edwin D. de Jong, Dirk Thierens, Richard A. Watson
2004	J	`jnl`	On the Design and Analysis of Competent Selecto-recombinative GAs. Evol. Comput. Steven van Dijk, Dirk Thierens, Mark de Berg
2004	A	`conf`	On the Use of a Non-redundant Encoding for Learning Bayesian Networks from Data with a GA. PPSN Steven van Dijk, Dirk Thierens
2004	—	`conf`	Population-Based Iterated Local Search: Restricting Neighborhood Search by Crossover. GECCO (2) Dirk Thierens
2003	—	`conf`	A Skeleton-Based Approach to Learning Bayesian Networks from Data. PKDD Steven van Dijk, Linda C. van der Gaag, Dirk Thierens
2003	A	`conf`	Building a GA from Design Principles for Learning Bayesian Networks. GECCO Steven van Dijk, Dirk Thierens, Linda C. van der Gaag
2003	C	`conf`	Convergence Time Analysis for the Multi-objective Counting Ones Problem. EMO Dirk Thierens
2003	—	`conf`	Evolutionary Markov Chain Monte Carlo. Artificial Evolution Madalina M. Drugan, Dirk Thierens
2003	J	`jnl`	The balance between proximity and diversity in multiobjective evolutionary algorithms. IEEE Trans. Evol. Comput. Peter A. N. Bosman, Dirk Thierens
2002	B	`conf`	Adaptive mutation rate control schemes in genetic algorithms. IEEE Congress on Evolutionary Computation Dirk Thierens
2002	J	`jnl`	Multi-objective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms. Int. J. Approx. Reason. Peter A. N. Bosman, Dirk Thierens
2002	A	`conf`	Permutation Optimization by Iterated Estimation of Random Keys Marginal Product Factorizations. PPSN Peter A. N. Bosman, Dirk Thierens
2002	J	`jnl`	Using Genetic Algorithms for Solving Hard Problems in GIS. GeoInformatica Steven van Dijk, Dirk Thierens, Mark de Berg
2001	J	`jnl`	Computation in Gene Expression. Complex Syst. Hillol Kargupta, Dirk Thierens
2000	A	`conf`	Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The IDEA. PPSN Peter A. N. Bosman, Dirk Thierens
2000	A	`conf`	Scalability and Efficiency of Genetic Algorithms for Geometrical Applications. PPSN Steven van Dijk, Dirk Thierens, Mark de Berg
1999	B	`conf`	A case study of a multiobjective recombinative genetic algorithm with coevolutionary sharing. CEC Martijn Neef, Dirk Thierens, Henryk F. R. Arciszewski
1999	A	`conf`	Linkage Information Processing In Distribution Estimation Algorithms. GECCO Peter A. N. Bosman, Dirk Thierens
1999	A	`conf`	On The Design of Genetic Algorithms for Geographical Applications. GECCO Steven van Dijk, Dirk Thierens, Mark de Berg
1999	J	`jnl`	Scalability Problems of Simple Genetic Algorithms. Evol. Comput. Dirk Thierens
1997	—	`conf`	Selection Schemes, Elitist Recombination, and Selection Intensity. ICGA Dirk Thierens
1996	A	`conf`	Dimensional Analysis of Allele-Wise Mixing Revisited. PPSN Dirk Thierens
1996	—	`conf`	Non-Redundant Genetic Coding of Neural Networks. International Conference on Evolutionary Computation Dirk Thierens
1994	A	`conf`	Convergence Models of Genetic Algorithm Selection Schemes. PPSN Dirk Thierens, David E. Goldberg
1994	—	`conf`	Elitist Recombination: An Integrated Selection Recombination GA. International Conference on Evolutionary Computation Dirk Thierens, David E. Goldberg
1993	—	`conf`	Mixing in Genetic Algorithms. ICGA Dirk Thierens, David E. Goldberg
1990	A	`conf`	A Topology Exploiting Genetic Algorithm to Control Dynamic Systems. PPSN Dirk Thierens, Leo Vercauteren